Clint Lincoln

510 total citations
10 papers, 427 citations indexed

About

Clint Lincoln is a scholar working on Molecular Biology, Pharmacology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Clint Lincoln has authored 10 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Clint Lincoln's work include Cell death mechanisms and regulation (2 papers), Cancer Research and Treatments (2 papers) and Inflammatory mediators and NSAID effects (2 papers). Clint Lincoln is often cited by papers focused on Cell death mechanisms and regulation (2 papers), Cancer Research and Treatments (2 papers) and Inflammatory mediators and NSAID effects (2 papers). Clint Lincoln collaborates with scholars based in United States. Clint Lincoln's co-authors include Robert A. Kratzke, Joseph Geradts, Da‐Lin Yao, Frederic J. Kaye, Gregory A. Otterson, Herbert K. Oie, Shu Fen Wen, Yifan Zhai, Bharat B. Aggarwal and Jian Ni and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Brain Research.

In The Last Decade

Clint Lincoln

10 papers receiving 420 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Clint Lincoln United States 7 185 116 83 79 77 10 427
Ingrid Pribill Austria 9 298 1.6× 135 1.2× 50 0.6× 78 1.0× 122 1.6× 12 615
Gary McIntosh United Kingdom 8 191 1.0× 249 2.1× 77 0.9× 34 0.4× 51 0.7× 9 491
Hongfan Zhao China 13 149 0.8× 98 0.8× 52 0.6× 88 1.1× 51 0.7× 24 481
Mei Chung Moh Singapore 15 285 1.5× 95 0.8× 44 0.5× 106 1.3× 67 0.9× 27 583
Emanuele Panatta Italy 15 320 1.7× 141 1.2× 44 0.5× 63 0.8× 177 2.3× 20 509
Masahiro Ryuto Japan 5 304 1.6× 87 0.8× 41 0.5× 72 0.9× 147 1.9× 6 464
Yuko Miyasato Japan 9 139 0.8× 164 1.4× 42 0.5× 207 2.6× 61 0.8× 11 414
Tianqi Luo China 13 108 0.6× 122 1.1× 103 1.2× 50 0.6× 93 1.2× 30 409
Natasha Jeffs United Kingdom 3 202 1.1× 230 2.0× 63 0.8× 102 1.3× 56 0.7× 3 456
Xiao‐Fan Wang United States 7 497 2.7× 179 1.5× 71 0.9× 99 1.3× 96 1.2× 7 811

Countries citing papers authored by Clint Lincoln

Since Specialization
Citations

This map shows the geographic impact of Clint Lincoln's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Clint Lincoln with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clint Lincoln more than expected).

Fields of papers citing papers by Clint Lincoln

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clint Lincoln. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Clint Lincoln. The network helps show where Clint Lincoln may publish in the future.

Co-authorship network of co-authors of Clint Lincoln

This figure shows the co-authorship network connecting the top 25 collaborators of Clint Lincoln. A scholar is included among the top collaborators of Clint Lincoln based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clint Lincoln. Clint Lincoln is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Humphreys, Robin, Carol Poortman, K McCormick, et al.. (2005). HGS-TR2J, an agonistic, TRAIL receptor 2 monoclonal antibody, actively and rapidly stimulates the TRAIL receptor pathway that leads to significant inhibition of tumor growth in human tumor cell lines in vitro and in vivo. Cancer Research. 65. 1038–1038. 2 indexed citations
2.
Nardelli, Bernardetta, Liubov Zaritskaya, Clint Lincoln, et al.. (2005). Osteostat/Tumor Necrosis Factor Superfamily 18 Inhibits Osteoclastogenesis and Is Selectively Expressed by Vascular Endothelial Cells. Endocrinology. 147(1). 70–78. 16 indexed citations
3.
Roach, Charlotte, Jon Askaa, Dennis E. Chenoweth, et al.. (2004). Development of sensitive and specific immunohistochemical assays for pro-apoptotic TRAIL-receptors. Cancer Research. 64. 1145–1145. 6 indexed citations
4.
Riccobene, Todd, et al.. (2003). Rapid and specific targeting of 125I-labeled B lymphocyte stimulator to lymphoid tissues and B cell tumors in mice.. PubMed. 44(3). 422–33. 20 indexed citations
5.
Lincoln, Clint, et al.. (1999). Model development and behavioral assessment of focal cerebral ischemia in rats. Life Sciences. 64(13). 1099–1108. 88 indexed citations
7.
Zhai, Yifan, Jian Ni, Jiamo Lu, et al.. (1999). VEGI, a novel cytokine of the tumor necrosis factor family, is an angiogenesis inhibitor that suppresses the growth of colon carcinomas in vivo. The FASEB Journal. 13(1). 181–189. 129 indexed citations
8.
Lincoln, Clint. (1998). Technical Excellence In Muscle Biopsy Preparation. Microscopy Today. 6(3). 10–11. 1 indexed citations
9.
Geradts, Joseph, et al.. (1996). Wild-type and mutant retinoblastoma protein in paraffin sections.. PubMed. 9(3). 339–47. 43 indexed citations
10.
Kratzke, Robert A., Gregory A. Otterson, Clint Lincoln, et al.. (1995). Immunohistochemical Analysis of the p16INK4 Cyclin-Dependent Kinase Inhibitor in Malignant Mesothelioma. JNCI Journal of the National Cancer Institute. 87(24). 1870–1875. 100 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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